Drawing a background map is the first step of any geospatial analysis. Once this background is available, you can color each region to get a choropleth map, add points or bubble to get a bubble map, reshape the region to get a cartogram, or show connection with a connection map.
<!-- Include the CanvasXpress library in your HTML file -->
<link rel="stylesheet" href="https://www.canvasxpress.org/dist/canvasXpress.css" type="text/css"/>
<script src="https://www.canvasxpress.org/canvasXpress.min.js"></script>
<!-- Create a canvas element for the chart with the desired dimensions -->
<div>
<canvas id="canvasId" width="600" height="600"</canvas>
</div>
<!-- Create a script to initialize the chart -->
<script>
<!-- Create the data for the graph -->
var data = {
"x" : {
"Latitude" : [40.701,40.702,40.703],
"Longitude" : [-73.985,-74.011,-73.991],
"color" : ["blue","red","green"],
"shape" : ["circle","teardrop","star"],
"size" : [1,1.5,3]
},
"y" : {
"smps" : ["New York 1","New York 2","New York 3"]
}
}
<-- Create the configuration for the graph -->
var config = {
"graphType":"Map",
"mapConfig":{
"center":[
40.7,
-74
],
"zoom":15
},
"markerBy":"shape",
"showLegend":"false",
"useLeaflet":"true"
}
<!-- Call the CanvasXpress function to create the graph -->
var cX = new CanvasXpress("canvasId", data, config);
</script>
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/cX-mapdecor-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/cX-mapdecor-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
graphType="Map",
mapConfig=list(center=list(40.7, -74), zoom=15),
markerBy="shape",
showLegend=FALSE,
useLeaflet=TRUE
)